Accelerated 2D Classification With ISAC Using GPUs
A widely used approach to analyze single particles in electron microscopy data is 2D classification. This process is very computationally expensive, especially when large data sets are analyzed. In this paper we present GPU ISAC, a newly developed, GPU-accelerated version of the established Iterativ...
Main Authors: | Fabian Schöenfeld, Markus Stabrin, Tanvir R. Shaikh, Thorsten Wagner, Stefan Raunser |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-07-01
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Series: | Frontiers in Molecular Biosciences |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fmolb.2022.919994/full |
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